Graham J. Dow

1.4k total citations
10 papers, 470 citations indexed

About

Graham J. Dow is a scholar working on Plant Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Graham J. Dow has authored 10 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Global and Planetary Change and 2 papers in Molecular Biology. Recurrent topics in Graham J. Dow's work include Plant Water Relations and Carbon Dynamics (6 papers), Plant Molecular Biology Research (4 papers) and Plant Stress Responses and Tolerance (2 papers). Graham J. Dow is often cited by papers focused on Plant Water Relations and Carbon Dynamics (6 papers), Plant Molecular Biology Research (4 papers) and Plant Stress Responses and Tolerance (2 papers). Graham J. Dow collaborates with scholars based in United States, United Kingdom and Switzerland. Graham J. Dow's co-authors include Dominique C. Bergmann, Joseph A. Berry, Gillian H. Dean, Yeen Ting Hwang, Mark Estelle, Jonathan S. Griffiths, Alan Gillett, George W. Haughn, Kerstin Kirchsteiger and Cătălin Voiniciuc and has published in prestigious journals such as The Plant Cell, New Phytologist and Plant Cell & Environment.

In The Last Decade

Graham J. Dow

9 papers receiving 466 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Graham J. Dow United States 6 382 196 149 52 37 10 470
Ross M. Deans Australia 8 210 0.5× 204 1.0× 73 0.5× 59 1.1× 47 1.3× 12 328
Catherine Massonnet France 11 367 1.0× 188 1.0× 122 0.8× 22 0.4× 76 2.1× 17 485
Jarle Nilsen Norway 9 365 1.0× 173 0.9× 155 1.0× 49 0.9× 68 1.8× 18 496
Erin T. Hamanishi Canada 6 294 0.8× 101 0.5× 173 1.2× 21 0.4× 30 0.8× 8 419
Raymon A. Donahue United States 10 265 0.7× 65 0.3× 122 0.8× 42 0.8× 23 0.6× 14 332
Margalida Roig‐Oliver Spain 10 333 0.9× 172 0.9× 100 0.7× 72 1.4× 29 0.8× 15 418
Kazuma Sakoda Japan 10 400 1.0× 182 0.9× 230 1.5× 50 1.0× 12 0.3× 22 496
Jack D. Early United States 4 590 1.5× 104 0.5× 294 2.0× 63 1.2× 30 0.8× 6 663
Gaëlle Capdeville France 10 315 0.8× 119 0.6× 152 1.0× 43 0.8× 77 2.1× 14 442
Eleinis Ávila‐Lovera United States 12 151 0.4× 163 0.8× 39 0.3× 71 1.4× 56 1.5× 23 352

Countries citing papers authored by Graham J. Dow

Since Specialization
Citations

This map shows the geographic impact of Graham J. Dow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Graham J. Dow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham J. Dow more than expected).

Fields of papers citing papers by Graham J. Dow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graham J. Dow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Graham J. Dow. The network helps show where Graham J. Dow may publish in the future.

Co-authorship network of co-authors of Graham J. Dow

This figure shows the co-authorship network connecting the top 25 collaborators of Graham J. Dow. A scholar is included among the top collaborators of Graham J. Dow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Graham J. Dow. Graham J. Dow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Dow, Graham J., et al.. (2024). Does stomatal patterning in amphistomatous leaves minimize the CO2 diffusion path length within leaves?. AoB Plants. 16(2). plae015–plae015. 3 indexed citations
3.
Yates, Steven, et al.. (2024). Interannual Variation of Stomatal Traits Impacts the Environmental Responses of Apple Trees. Plant Cell & Environment. 48(3). 2478–2491. 2 indexed citations
4.
Lincoln, Noa Kekuewa, et al.. (2019). Early Growth of Breadfruit in a Variety × Environment Trial. Agronomy Journal. 111(6). 3020–3027. 4 indexed citations
5.
Carins‐Murphy, Madeline R., Graham J. Dow, Gregory J. Jordan, & Timothy J. Brodribb. (2017). Vein density is independent of epidermal cell size in Arabidopsis mutants. Functional Plant Biology. 44(4). 410–418. 10 indexed citations
6.
Dow, Graham J., Joseph A. Berry, & Dominique C. Bergmann. (2017). Disruption of stomatal lineage signaling or transcriptional regulators has differential effects on mesophyll development, but maintains coordination of gas exchange. New Phytologist. 216(1). 69–75. 33 indexed citations
7.
Dow, Graham J. & Dominique C. Bergmann. (2014). Patterning and processes: how stomatal development defines physiological potential. Current Opinion in Plant Biology. 21. 67–74. 79 indexed citations
8.
Dow, Graham J., Joseph A. Berry, & Dominique C. Bergmann. (2013). The physiological importance of developmental mechanisms that enforce proper stomatal spacing in Arabidopsis thaliana. New Phytologist. 201(4). 1205–1217. 126 indexed citations
9.
Dow, Graham J., Dominique C. Bergmann, & Joseph A. Berry. (2013). An integrated model of stomatal development and leaf physiology. New Phytologist. 201(4). 1218–1226. 138 indexed citations
10.
Voiniciuc, Cătălin, Gillian H. Dean, Jonathan S. Griffiths, et al.. (2013). FLYING SAUCER1 Is a Transmembrane RING E3 Ubiquitin Ligase That Regulates the Degree of Pectin Methylesterification inArabidopsisSeed Mucilage. The Plant Cell. 25(3). 944–959. 75 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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